Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancement

  • Angelo Chianese
  • Vincenzo Moscato
  • Antonio Penta
  • Antonio Picariello
Conference paper

DOI: 10.1007/11867661_25

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)
Cite this paper as:
Chianese A., Moscato V., Penta A., Picariello A. (2006) Improving Minutiae Detection in Fingerprints Using Multiresolution Contrast Enhancement. In: Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg

Abstract

The majority of automatic fingerprint matching systems depends on the comparison of the local ridge characteristics (bifurcation and termination), and a critical step in fingerprint matching is to extract minutiae from the input image. In this work we propose a novel ridge following algorithm based on a robust image enhancement filtering. Several experiments are carried out, showing the performances of the proposed approach.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Angelo Chianese
    • 1
  • Vincenzo Moscato
    • 1
  • Antonio Penta
    • 1
  • Antonio Picariello
    • 1
  1. 1.Dipartimento di Informatica e SistemisticaUniversity Federico IINaplesItaly

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